OWL-ViT
Open‑Vocabulary Object Detection with Vision Transformers.
OWL‑ViT (Open‑World Localization with Vision Transformers) is an open‑vocabulary object detector that uses a CLIP‑based ViT‑B/32 backbone. Given an image and one or more free‑form text queries, the model predicts bounding boxes and confidence scores for each query.
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This model is currently not supported on any IoT chipset.
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View for other chipsetsTechnical Details
Input image resolution:768x768
Model checkpoint:google/owlvit-base-patch32
Model size (float):613 MB
Number of parameters:153M
Applicable Scenarios
- Open-Vocabulary Detection
- Zero-Shot Object Detection
- Factory Automation
License
Model:APACHE-2.0
Tags
- foundation
Supported IoT Devices
- Arduino VENTUNO Q
- Dragonwing IQ-8275 EVK
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-6690 MTP
- Dragonwing Q-7790
- Dragonwing Q-8750
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® Dragonwing™ Q-6690
- Qualcomm® QCS5121
- Qualcomm® Dragonwing™ QCS6490
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ Q-7790
- Qualcomm® Dragonwing™ IQ-8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
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